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Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology
The effects of applied pressure and running velocity on wear behavior as well as Abbott Firestone zones of low carbon steel (0.16C) were evaluated using response surface methodology (RSM). At room temperature, three different pressures (0.5, 1.5, and 2.5 MPa) and three different velocities (1.5, 2.2...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411595/ https://www.ncbi.nlm.nih.gov/pubmed/36008539 http://dx.doi.org/10.1038/s41598-022-18637-3 |
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author | Elshaer, Ramadan N. El-Fawakhry, Mohamed K. Mattar, Taha Farahat, Ahmed I. Z. |
author_facet | Elshaer, Ramadan N. El-Fawakhry, Mohamed K. Mattar, Taha Farahat, Ahmed I. Z. |
author_sort | Elshaer, Ramadan N. |
collection | PubMed |
description | The effects of applied pressure and running velocity on wear behavior as well as Abbott Firestone zones of low carbon steel (0.16C) were evaluated using response surface methodology (RSM). At room temperature, three different pressures (0.5, 1.5, and 2.5 MPa) and three different velocities (1.5, 2.25, and 3 m/s) were used to conduct dry sliding wear trials utilizing the pin-on-disc method according to the experimental design technique (EDT). The experiments were created using central composite design (CCD) as a starting point. The relationship between input factors (pressure and velocity) and responses (wear rate and Abbott Firestone zones) of 0.16C steel was demonstrated using analysis of variance (ANOVA). The best models for wear rate as well as Abbott Firestone zones produced accurate data that could be estimated, saving time and cost. The results revealed that pressure had the greatest impact on the alloy’s dry sliding wear behavior of the two variables studied. In general, the predicted result shows close agreement with experimental results and hence created models could be utilized for the prediction of wear behavior and Abbott Firestone zones satisfactorily. |
format | Online Article Text |
id | pubmed-9411595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94115952022-08-27 Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology Elshaer, Ramadan N. El-Fawakhry, Mohamed K. Mattar, Taha Farahat, Ahmed I. Z. Sci Rep Article The effects of applied pressure and running velocity on wear behavior as well as Abbott Firestone zones of low carbon steel (0.16C) were evaluated using response surface methodology (RSM). At room temperature, three different pressures (0.5, 1.5, and 2.5 MPa) and three different velocities (1.5, 2.25, and 3 m/s) were used to conduct dry sliding wear trials utilizing the pin-on-disc method according to the experimental design technique (EDT). The experiments were created using central composite design (CCD) as a starting point. The relationship between input factors (pressure and velocity) and responses (wear rate and Abbott Firestone zones) of 0.16C steel was demonstrated using analysis of variance (ANOVA). The best models for wear rate as well as Abbott Firestone zones produced accurate data that could be estimated, saving time and cost. The results revealed that pressure had the greatest impact on the alloy’s dry sliding wear behavior of the two variables studied. In general, the predicted result shows close agreement with experimental results and hence created models could be utilized for the prediction of wear behavior and Abbott Firestone zones satisfactorily. Nature Publishing Group UK 2022-08-25 /pmc/articles/PMC9411595/ /pubmed/36008539 http://dx.doi.org/10.1038/s41598-022-18637-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Elshaer, Ramadan N. El-Fawakhry, Mohamed K. Mattar, Taha Farahat, Ahmed I. Z. Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology |
title | Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology |
title_full | Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology |
title_fullStr | Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology |
title_full_unstemmed | Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology |
title_short | Mathematical modeling of wear behavior and Abbott Firestone zones of 0.16C steel using response surface methodology |
title_sort | mathematical modeling of wear behavior and abbott firestone zones of 0.16c steel using response surface methodology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411595/ https://www.ncbi.nlm.nih.gov/pubmed/36008539 http://dx.doi.org/10.1038/s41598-022-18637-3 |
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